Kai Sanders

I’m a Senior Data Engineer with 12+ years of experience building scalable, reliable data platforms across healthcare, fintech, and e-commerce. I started my career at Groupon, where I worked with Hadoop, Hive, Spark, Kafka, SQL, and Python to build large-scale marketplace, customer, and behavioral analytics pipelines. I then joined BILL, where I focused on financial data engineering, including payment lifecycle processing, reconciliation, near-real-time transaction monitoring, and analytics platforms using AWS, Spark/PySpark, Airflow, Snowflake, dbt, and Kafka.

Currently, I’m a Senior Data Engineer at Komodo Health, working with high-volume healthcare data and building pipelines and analytical models around claims, clinical events, providers, therapies, and patient journeys. I’ve helped improve processing times by 30–40% on selected workloads and reduce downstream data incidents by roughly 40–50% through stronger data-quality controls.

My main technical strengths are Python, SQL, PySpark/Spark, Databricks, Snowflake, AWS, Airflow, dbt, Kafka, data modeling, streaming, performance optimization, and data governance. I also enjoy technical mentoring, design reviews, troubleshooting difficult production problems, and collaborating with product, analytics, and business teams.

Going forward, I’m especially interested in senior data engineering opportunities where I can stay hands-on while taking strong technical ownership of scalable data platforms and helping other engineers grow.